... Google’s $10 million bid for Spirit Airlines data proves operational history is a high-value AI asset. D&A leaders must transition from viewing data as a legacy liability to proactively appraising and governing this “AI-trainable organizational memory” as a core capital resource for future intelligence. Insights ...
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... Healthcare CIOs must shift from disconnected silos to managing agentic AI embedded within and across core applications. By enforcing interoperability, prioritizing orchestration, and shifting to health-value-ROI, organizations can scale AI workflows to boost clinical capacity and patient safety. Insights ...
Analyst(s): Barry Runyon | Roger Benn | Joe Antelmi | Faith Adams | Saru Mehta
... Access Insights Already a Gartner client? “AI governance” is a context-specific term with a wide range of meanings. AI leaders and CIOs must systematize dedicated checklists like those included here to approve projects, monitor their progress and choose when to renovate, retire and replace them. Insights ...
... becoming expensive and diminishes the overall value derived from AI initiatives if not carefully monitored. CIOs should use this research to better understand, track and optimize token costs, thereby maximizing financial value with AI investments. Insights at a Glance Strategic Planning Assumption Impact ...
... Access Insights Already a Gartner client? Power and utilities CIOs seeking to scale business value with AI need the right enabling technologies. Build an enabling AI technology stack in waves to balance value realization with investment to deliver and grow ROI on a continuous basis. Insights at a Glance ...
... benefits from cloud adoption. Legacy cloud operations approaches cannot keep pace with AI and cloud-native demands. Insights at a Glance I&O Must Accelerate Its Delivery Model I&O Must Prepare for the Impact of AI Agents Adopt a Platform-Oriented Approach Gartner Recommended Reading Gartner Insights ...
... Access Insights Already a Gartner client? A practical framework for scaling AI agents to production is crucial, as value expectations for agentic AI remain to be fully realized. This guide emphasizes prioritizing the right use cases, selecting the right technologies, and supporting adoption with roles ...
Analyst(s): Meghna Joshi | Joseph Denney | Kristin Sherwood | Sneha Ayyar | Joe Ham
... Insights Already a Gartner client? Agentic I&O can translate operational noise, excessive context and workflow complexity into AI consumption that is avoidable. Heads of I&O should apply AI cost management before deployment by controlling agent invocation, context, intelligence selection and architectural complexity ...
Analyst(s): Ashish Banerjee | Katy Weber | Paul Wang
... Gartner client? AI value realization is often constrained by the business’s ability to embrace and drive transformational change. CIOs and AI leaders can use this approach, exemplified by Repsol, to expand IT’s mandate to systematically diagnose, prioritize, and prepare business areas for AI at scale. Insights ...
Analyst(s): Kristin Sherwood | Sneha Ayyar | Marie Sienkowski